OOIR: Observatory of International Research

Papers

(The median citation count of Health Information Science and Systems is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)

Article	Citations
K-cql: an arterial blood gas analysis-based deep offline reinforcement learning algorithm for mechanical ventilation treatment	86
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery	63
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction	61
Microstate feature fusion for distinguishing AD from MCI	50
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder	46
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data	42
ProsthetiX-AI: An LLM-based clinical decision support system for evidence-based prosthetic recommendations	40
Exploring relationship between emotion and probiotics with knowledge graphs	39
DALI-Syn: integrating chemical LLMs with multi-level attention architectures for synergistic drug combination prediction	39
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data	38
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer	36
MSER: an emotion recognition method based on multi-signal information fusion	36
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging	35
Image-based second opinion for blood typing	34
Knowledge-enhanced medical image classification via descriptive priors from large language models	34
Structured reflective reasoning for precise medical knowledge graph retrieval augmented generation	32
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI	32
An enhanced heart disease prediction model based on linear Diophantine fuzzy-integrated supervised machine learning	30
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases	28
Detecting stress from videos via intra-subject and inter-subject learning	27
Embedding-based link predictions to explore latent comorbidity of chronic diseases	27
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset	25
Computational and statistical insights for leveraging biomarker-driven machine learning models in predicting COVID-19 patient outcomes	24
Deep continual multitask out-of-hospital incident severity assessment from changing clinical features	23
Detecting autism in children through drawing characteristics using the visual-motor integration test	22

MedGAITS: a graph autoencoder network for modeling irregular time series data in electronic medical records	22
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset	21
Convolutional neural network framework for EEG-based ADHD diagnosis in children	20
Timelygpt: extrapolatable transformer pre-training for long-term time-series forecasting in healthcare	19
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration	19
Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers	19
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals	18
HTC-Net: Hashimoto’s thyroiditis ultrasound image classification model based on residual network reinforced by channel attention mechanism	17
A multimodal approach for cardiac signals classification using deep learning with explainable AI methods	17
PKFAR: psychiatry knowledge-fused augmented reasoning with large language models	17
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches	17
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification	16
Automated lead toxicity prediction using computational modelling framework	16
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network	16
Enhancing medical image report generation using a self-boosting multimodal alignment framework	15
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules	15
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine	15
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network	15
An explainable hybrid deep-learning and machine learning framework for automatic coeliac disease detection from duodenal endoscopy images	15
Multi-dimensional perceptual quality assessment for magnetic resonance images	14
An EEG-based patient-independent epileptic seizure detection method based on domain generative adversarial network	14
Meta semi-supervised medical image segmentation with label hierarchy	14
A data fusion deep learning approach for accurate organelle-based classification of cancer cells	14
A new mixed reality tool for training in minimally invasive robotic-assisted surgery	13
Predicting lung cancer survival with attention-based CT slices combination	13
Reasoning with large language models in medicine: a systematic review of techniques, challenges and clinical integration	13
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning	13
Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification	13
Hierarchical agent reflection for aligning LLM reasoning with clinical diagnostic processes	13
Identification and applications of disease-associated differential human and bacterial proteins with metaproteomic evidence	13
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data	12
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection	12
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery	12
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features	12
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services	12
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation	11
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review	11
Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder	11
Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence	11
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation	11
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization	11
Alterations of DNA methylation profile in peripheral blood of children with simple obesity	11
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing	11
Utilizing multimodal models to forecast Alzheimer's disease progression and clinical subtypes	10
MOLiNAS: multi-objective lightweight neural architecture search for whole-slide multi-class blood cell segmentation	10
EAPR: explainable and augmented patient representation learning for disease prediction	10
Prognostic value of stress hyperglycemia ratio in critically Ill patients with acute kidney injury: a machine learning-driven retrospective cohort analysis	9
Predictive modeling of depression and anxiety after myocardial infarction: a study on influential factors and heart rate variability	9
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration	9
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning	9

Classifying sepsis from photoplethysmography	9
Gut microbiome biomarkers in adolescent obesity: a regional study	9
Spatial and frequency domain-based feature fusion for accurate detection of schizophrenia using AI-driven approaches	9
Neuro-signaling techniques in video gaming endorsements: a cognitive and neural dynamics approach	8
CSL-CTEA: a systematic method for evaluating novel intelligent cognitive assessment tools	8
DA3-LUNGNET: a multi-stage deep framework with adaptive attention for early detection of subcentimeter pulmonary nodules	8
Toward intelligent clinical support for personalized sport training rehabilitation via large language models	7
Hyperbolic vision language representation learning on chest radiology images	7
Consistent explainable image quality assessment for medical imaging	7
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality	7
BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification	7
Frailty detection in older adults via fractal analysis of acceleration signals from wrist-worn sensors	7
Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model	7
RQA-based identification of emotions from electrocargiogram signals for emotion regulation in children with autism spectrum disorder	7
A new segment method for pulmonary artery and vein	7
A transfer learning enabled approach for ocular disease detection and classification	7
HeteroMed: a heterogeneous graph knowledge-enhanced model for medication recommendation	7
Predicting drug–drug interactions based on multi-view and multichannel attention deep learning	6
Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN	6
Leveraging electronic health records for atrial fibrillation cohort generation	6
LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images	6
LASF: a local adaptive segmentation framework for coronary angiogram segments	6
Pre-collapse femoral head necrosis treated by hip abduction: a computational biomechanical analysis	6
Complex temporal network analysis based on the difference visibility graph for epilepsy with and without electrical status epilepticus during sleep (ESES) patients	6
The contrastive learning method in tongue image representation learning and its significance in intelligent diagnosis	6
Early detection of paediatric and adolescent obsessive–compulsive, separation anxiety and attention deficit hyperactivity disorder using machine learning algorithms	6
Segmentation and severity classification of scar tissues in LGE-CMR images using HDResC-Net with Flamingo gannet search optimization	6
Pose2met: a unified spatiotemporal framework for 3D human pose estimation and energy expenditure estimation	6
Interrelated feature selection from health surveys using domain knowledge graph	6
Viewpoint-invariant exercise repetition counting	6
Evaluating topological and graph-theoretical approaches to extract complex multimodal brain connectivity patterns in multiple sclerosis	6
UniMRE: a unified framework for zero-shot medicial relation extraction with large language models	6
Determination of cardiopulmonary resuscitation quality based on machine learning algorithms using various biological signals	6
Comprehensive applications of the artificial intelligence technology in new drug research and development	6
A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition	5
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods	5
LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening	5
Task-independent auditory probes reveal changes in mental workload during simulated quadrotor UAV training	5
Explainable depression symptom detection in social media	5
Coronary artery segmentation framework based on three types of U-Net and voting ensembles	5
Knowledge and data-driven prediction of organ failure in critical care patients	5
Machine learning approach to flare-up detection and clustering in chronic obstructive pulmonary disease (COPD) patients	5
GradCAM as an explicability method to evaluate the performance of deep learning models in classifying pediatric arteriovenous malformations (AVM) in arterial spin labeling sequences (ASL)	5
Meta-path guided graph attention network for explainable herb recommendation	5
Design and development of a disease-specific clinical database system to increase the availability of hospital data in China	5
Quantum variational graph-driven neural framework for genomic-clinical integration in precision diagnosis	5
MHA: a multimodal hierarchical attention model for depression detection in social media	5
Inter-clinician diagnostic agreement of shock etiology: a multicenter observational study	5
An interpretable machine learning model for predicting sepsis-induced cardiomyopathy in ICU patients: development and validation using the MIMIC-IV database	5
Enhancing explainability and performance of the depression detection model on social media utilizing feature engineering and LLMs	5
Multi-omics data integration for disease phenotype prediction using adversarial vision graph networks	4
Vaner2: towards more general biomedical named entity recognition using multi-task large language model encoders	4
DPD (DePression Detection) Net: a deep neural network for multimodal depression detection	4
Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images	4
Multi-teacher based knowledge distillation for retinal vessel segmentation	4
Enhancing LLM-based clinical reasoning in anesthesiology via graph-augmented retrieval and explainable generation	4
Design and evaluation of an exergame system to assist knee disorders patients' rehabilitation based on gesture interaction	4
Identification of phosphorylation site using S-padding strategy based convolutional neural network	4
Explainable federated learning scheme for secure healthcare data sharing	4
Self-supervised neural network-based endoscopic monocular 3D reconstruction method	4
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition	4
A review of machine learning-based methods for predicting drug–target interactions	4
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation	3
CTGFusionNet: fusion of deep learning models for predicting fetal distress—a multimodal approach	3
A new diagnostic autism spectrum disorder (DASD) strategy using ensemble diagnosis methodology based on blood tests	3
Deep transfer learning hybrid techniques for precision in breast cancer tumor histopathology classification	3
Large language models in healthcare: a systematic evaluation on medical Q/A datasets	3
Large language models and conditional rules in clinical decision support systems	3
Machine learning models for volume and weight estimation in breast reconstruction planning	3
Detecting self-harm in social media using term weighting schemes based on the distance between words and personal pronouns	3
Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy	3
Design and technical validation to generate a synthetic 12-lead electrocardiogram dataset to promote artificial intelligence research	3
Fine-grained evaluation of a domain-specific Q&A dataset to support trustworthy medical language models	3
Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM	3